Breast and Lymph Node Ultrasound Image Dataset for Lesion Detection and Characterization

Read full text
Authors: Meng-Hsiun Tsai, Chih-Chiang Hung, Chun-Ming Yen, Chih-Chan Yang, Wei-Hsin Hung, Yun-Hsin Li
Cited by: 0

Abstract

This dataset includes a curated subset of 45 fully anonymized breast and axillary lymph node ultrasound images collected at Taichung Veterans General Hospital for public illustration. In addition, annotation files corresponding to the curated dataset (approximately 3,800 images) are provided in JSON (Labelme) format. These annotation files contain expert-defined lesion annotations and associated metadata, allowing users to review the annotation structure and incorporate the dataset into detection benchmarking or related image analysis workflows.All images were anonymized prior to release in accordance with institutional privacy requirements, and no patient-identifying information was preserved. Access to the complete curated image set is available under controlled conditions through Figshare in accordance with the IRB-approved Data Use Agreement.

Fields of Study & Subjects

AI in cancer detection Medical Image Segmentation Techniques Breast Lesions and Carcinomas

Publication details

Journal / source
Figshare
Publication date
5 March 2026
Language
EN
Document type
Dataset